Fig. 3
From: Architectures and accuracy of artificial neural network for disease classification from omics data
Ranks of classification performance of six primary and five extended architectures of MLP. The original performance measures (Kappa or ACC) were converted to ranks (1–11) within each dataset, with a smaller rank signifying a better performance. Each dot represented a rank per architecture and per dataset. Dots were colored by the dataset group (see section Datasets). Architectures were ordered by the mean rank across all datasets. See Additional file 1: Table S1 for definitions of the various architectures